基于图像识别的堆石坝堆石料级配识别与评价

Study on Gradation Recognition and Evaluation of Rockfill Dam Based on Image Recognition

土石坝是水电行业应用最广泛的坝型之一,而堆石坝是其最优选择,其坝料颗粒级配对施工质量和运行安全具有重要影响。由于人工筛分具有很大的缺点,图像识别技术正在成为热点。基于图像识别对堆石料开展原位级配检测,针对石料颗粒的形状及分布特点,采用分层法将堆石料分为上、中上、中下、下总共4层,将4层级配曲线根据各自占比进行加权合并,合并曲线与筛分曲线误差在10%左右,相比之前减少了10%,检测结果更为为准确;同时建立了坝料粒径级配评价模型,统计已有堆石坝的分形维数,通过对比模型分形指标和筛分指标,验证了运用分形维数D来评价坝料级配分布的可行性。该方法可为类似工程中颗粒级配的快速、准确检测提供借鉴。

Earth-rock dam is one of the most widely used dam types in hydropower industry,among which rockfill dam is the best choice and its dam material particle size distribution has an important impact on construction quality and operation safety.Because of the disadvantages of manual screening,image recognition technology is becoming a hot spot.Based on image recognition,this paper carries out in-situ grada⁃tion detection of rockfill materials.According to the shape and distribution characteristics of stone particles,the rockfill materials are divided into four layers:upper,middle upper,middle lower and lower,and the four gradation curves are weighted and merged according to their re⁃spective proportions.The error between the merged curve and the screening curve is about 10%,which is reduced by 10%compared with the previous ones,and the detection results are more accurate;At the same time,an evaluation model for the particle size gradation of the dam material has been established.By comparing the fractal index and screening index of the model,the feasibility of using fractal dimension D to evaluate the gradation distribution of dam materials is verified.This method can provide reference for rapid and accurate detection of particle size distribution in similar projects.